/* * Copyright 2011-2013, by Vladimir Kostyukov and Contributors. * * This file is part of la4j project (http://la4j.org) * * Licensed under the Apache License, Version 2.0 (the "License"); * You may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * Contributor(s): - * */ package org.la4j.decomposition; import org.junit.Assert; import org.la4j.LinearAlgebra; import org.la4j.Matrix; import static org.la4j.M.*; public abstract class AbstractDecompositorTest { public abstract LinearAlgebra.DecompositorFactory decompositorFactory(); public void performTest(double[][] input, double[][][] output) { for (Matrix a: ms(input)) { MatrixDecompositor decompositor = a.withDecompositor(decompositorFactory()); Matrix[] decomposition = decompositor.decompose(); Assert.assertEquals(output.length, decomposition.length); for (int i = 0; i < decomposition.length; i++) { Assert.assertTrue(m(output[i]).equals(decomposition[i], 1e-3)); } } } }